// Copyright (C) 2022. Huawei Technologies Co., Ltd. All rights reserved.

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// WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
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#include "BahdanauAttentionParams.h"

namespace raul
{

BahdanauAttentionParams::BahdanauAttentionParams(const BasicParams& params,
                                                 size_t numUnits,
                                                 bool normalize,
                                                 raul::dtype noise,
                                                 raul::dtype bias,
                                                 const std::string& mode,
                                                 bool stepwise,
                                                 bool oldSMA,
                                                 bool frozen)
    : TrainableParams(params, frozen)
    , mNumUnits(numUnits)
    , mNormalize(normalize)
    , mSigmoidNoise(noise)
    , mScoreBiasInit(bias)
    , mMode(mode)
    , mStepwise(stepwise)
    , mOldSMA(oldSMA)
{
}

BahdanauAttentionParams::BahdanauAttentionParams(const BasicParams& params,
                                                 const Name& sharedLayer,
                                                 size_t numUnits,
                                                 bool normalize,
                                                 raul::dtype noise,
                                                 raul::dtype bias,
                                                 const std::string& mode,
                                                 bool stepwise,
                                                 bool oldSMA,
                                                 bool frozen)
    : TrainableParams(params.getInputs(), params.getOutputs(), sharedLayer, frozen)
    , mNumUnits(numUnits)
    , mNormalize(normalize)
    , mSigmoidNoise(noise)
    , mScoreBiasInit(bias)
    , mMode(mode)
    , mStepwise(stepwise)
    , mOldSMA(oldSMA)
{
}

void BahdanauAttentionParams::print(std::ostream& stream) const
{
    BasicParams::print(stream);
    stream << "num units = " << mNumUnits << ", normalize = " << mNormalize << ", sigmoid noise = " << mSigmoidNoise;
    stream << ", score bias init = " << mScoreBiasInit << ", mode = " << mMode << ", stepwise = " << mStepwise << ", old version = " << mOldSMA;
}

}
